Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

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1. Which of the following is a sharpening filter used in digital image processing?



2. What is the main purpose of a sharpening filter?



3. Which of the following operators is based on second-order derivatives?



4. Which sharpening method uses first-order derivatives?



5. Which directional operators are used for edge detection in the gradient method?



6. Which of the following best describes the Laplacian filter?



7. The Laplacian operator is used to:



8. Which filter emphasizes regions of rapid intensity change?



9. What is a key disadvantage of the Laplacian filter?



10. Which gradient operator computes the magnitude of the gradient?



11. Which of the following filters is most likely to enhance fine details?



12. Which of the following operators is used for edge detection in both x and y directions?



13. The Laplacian operator is sensitive to:



14. In which situation is the use of gradient filters more advantageous?



15. What is the effect of applying a Laplacian filter to a smooth image?



16. Which filter is generally applied after Laplacian to improve visual quality?



17. Sobel and Prewitt operators are examples of:



18. Which sharpening filter is directionally biased?



19. Which of the following enhances edges equally in all directions?



20. Laplacian filter is defined using which mathematical concept?



21. What does a high gradient magnitude represent in an image?



22. Which gradient operator uses a 3×3 kernel and includes smoothing?



23. The Prewitt operator detects edges by approximating:



24. Which of the following sharpening methods is most sensitive to noise?



25. Gradient filters help to detect edges by finding:



26. What type of edges are Laplacian filters especially good at detecting?



27. Which edge detection filter does not involve directionality?



28. Which operator calculates the difference between adjacent pixel values?



29. What is the main limitation of the Prewitt operator?



30. Which edge detector is known for simplicity but poor noise performance?



31. Which filter computes the second derivative using the difference of neighboring pixels?



32. Which filter shows zero-crossings at edges?



33. The Sobel operator emphasizes which types of edges?



34. Which operator uses two masks to calculate edge magnitude and direction?



35. What happens when the Laplacian mask is applied twice?



36. The Laplacian filter is usually combined with:



37. Which filter provides edge detection in real-time systems due to simplicity?



38. Which filter combines edge detection with slight smoothing?



39. Which sharpening filter is most effective for binary edge maps?



40. A positive Laplacian kernel highlights:



41. Which sharpening technique includes both horizontal and vertical edge components?



42. In gradient-based edge detection, the edge direction is found using:



43. Which filter has a kernel with both positive and negative values?



44. The Laplacian filter detects edges based on:



45. Which of the following filters sharpens the image by subtracting a smoothed version?



46. In digital images, sharpening is often used to:



47. Which gradient method is least effective at detecting weak edges?



48. Which sharpening method is most sensitive to pixel intensity differences?



49. Which sharpening filter is direction-independent?



50. Which is not a common issue when using sharpening filters?



51. Which sharpening operator is based on local intensity differences?



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